01065nas a2200145   4500000000100000008004100001260001500042100002200057700001700079700001400096245006200110856006600172520066700238022001400905       2020                            d  c2020-09-191 aDipankar Dasgupta1 aZahid Akhtar1 aSajib Sen00aMachine learning in cybersecurity: a comprehensive survey  uhttps://journals.sagepub.com/doi/abs/10.1177/15485129209512753 awe provide a comprehensive survey of the works that have been carried
out most recently (from 2013 to 2018) on ML in cybersecurity, describing the basics of cyber-attacks and corresponding
defenses, the basics of the most commonly used ML algorithms, and proposed ML and data mining schemes for cybersecurity in terms of features, dimensionality reduction, and classification/detection techniques. In this context, this article
also provides an overview of adversarial ML, including the security characteristics of deep learning methods. Finally, open
issues and challenges in cybersecurity are highlighted and potential future research directions are discussed.  a1548-5129